10 beste New Relic-alternativer for observerbarhet i 2026

By
Gui Drusina

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Oppdag de beste New Relic-alternativene for å forbedre applikasjonsovervåking, feilsporing og observerbarhet. Finn det riktige verktøyet for dine behov i 2026.

De beste alt-i-ett-alternativene til New Relic kombinerer grundig overvåking av applikasjonsytelse, fleksibel observerbarhet og integrasjoner som passer inn i teamets arbeidsflyter. Hvis du ser etter alternativer til New Relic, trenger du sannsynligvis pålitelige verktøy for å spore applikasjonens tilstand, diagnostisere problemer og støtte komplekse miljøer uten manglende innsyn eller leverandørbinding. 

Denne listen hjelper deg med å sammenligne ledende overvåkingsverktøy, forstå deres unike styrker og velge en plattform som passer til dine tekniske krav og forretningsmål.

Hva er New Relic?

New Relic er en plattform for overvåking av applikasjonsytelse og observerbarhet som brukes til å spore, analysere og optimalisere programvareytelse i skybaserte og lokale miljøer. Den gir sanntidsinnsikt i applikasjonens tilstand, infrastruktur og brukeropplevelse. Team bruker New Relic til å oppdage problemer, overvåke distribuerte systemer og forbedre påliteligheten ved å samle inn og visualisere måledata, spor og logger fra teknologistakken.

Sammenligningstabell for alternativer til New Relic

Denne sammenligningstabellen oppsummerer prisdetaljer for mine beste utvalgte alternativer til New Relic:

1Best for high-cardinality event debuggingFree plan availableFrom $130/monthWebsite
2Best for unified log and metric analysis7-day free trialFrom $0.07/GBWebsite
3Best for automated application discoveryFree demo availableFrom $21.20/MVS/monthWebsite
4Best with AWS ecosystem integrationFree plan availablePricing upon requestWebsite
5Best for Microsoft Azure workloadsFree demo availablePricing upon requestWebsite
6Best for business transaction monitoring15-day free trial available From $6/CPU core/month (billed annually)Website
7Best for real-time error trackingFree plan + free demo + 14-day free trial availableFrom $26/month (billed annually)Website
8Best with AI-powered root cause analysisFree demo availableFrom $4.50/1000 sessionsWebsite
9Best for cloud-native infrastructure visibilityFree plan available and 14-day free trialFrom $5/month (billed annually)Website
10Best for monitoring hybrid IT environments30-day free trial + free demo + free plan availablFrom $199/year Website

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Anmeldelser av alternativer til New Relic

Nedenfor finner du mine detaljerte sammendrag av de beste alternativene til New Relic som kom med på kortlisten. Anmeldelsene mine gir en detaljert gjennomgang av funksjonene, integrasjonene og de beste bruksområdene for hver plattform, slik at du kan finne den som passer best for deg.

  1. Best for high-cardinality event debugging
    • Free plan available
    • From $130/month
    Visit Website
    Customer Rating:4.8/5
    Honeycomb screenshot
    Honeycomb offers event-based observability with deep, high-cardinality insights.

    For teams that need to debug complex, high-cardinality events, Honeycomb offers a unique approach to observability. This platform is especially useful for engineers and SREs working in distributed systems where pinpointing outliers and hidden patterns is critical. Unlike many New Relic alternatives, Honeycomb excels at interactive querying and visual exploration of event data at scale.

    Why Honeycomb Is a Good New Relic Alternative

    Honeycomb stands out for its ability to handle high-cardinality event debugging, which is essential for teams managing complex, distributed systems. I like that you can run interactive queries on billions of events and instantly visualize patterns that would be hard to spot with traditional APM tools. Its BubbleUp feature lets you isolate outliers and anomalies within massive datasets in seconds. For organizations that need to investigate granular event data and uncover hidden issues, Honeycomb offers a level of observability that many New Relic alternatives can’t match.

    Honeycomb Key Features

    In addition to its event debugging strengths, Honeycomb offers several other features worth noting:

    • Service Map: Visualizes relationships and dependencies between services in your environment.
    • SLO tracking: Monitors and manages service level objectives directly within the platform.
    • Distributed tracing: Captures and displays traces across microservices for end-to-end visibility.
    • Team collaboration tools: Enables shared queries, boards, and comments for collaborative troubleshooting.

    Honeycomb Integrations

    Integrations include AWS Lambda, Slack, Terraform, MySQL, Prometheus, ServiceNow, AWS CloudWatch, and more.

    Pros and Cons

    Pros:

    • Real-time querying on large event datasets
    • BubbleUp feature pinpoints anomalies visually
    • Handles high-cardinality data without performance loss

    Cons:

    • Requires instrumentation for full observability
    • Limited support for legacy application environments
    Learn more about Honeycomb:
  2. Best for unified log and metric analysis
    • 7-day free trial
    • From $0.07/GB
    Visit Website
    Customer Rating:4.3/5
    Elastic Observability screenshot
    Elastic Observability uses AI monitoring to detect issues and predict risks.

    Elastic Observability, built on Elasticsearch, brings together logs, metrics, and traces in a single platform for unified analysis. This solution is a strong fit for engineering teams and IT operations that need to correlate data across complex, distributed environments. Unlike many New Relic alternatives, Elastic Observability emphasizes flexible search, AI-driven anomaly detection, and customizable dashboards for deep troubleshooting.

    Why Elastic Observability Is a Good New Relic Alternative

    What sets Elastic Observability apart is its unified approach to log and metric analysis across your entire stack. I appreciate how you can ingest, search, and correlate logs, metrics, and traces from multiple sources in one place. The platform’s AI-driven anomaly detection and customizable visualizations help teams quickly pinpoint and investigate issues. For organizations that need deep, flexible observability across distributed systems, Elastic Observability offers a compelling alternative to New Relic.

    Elastic Observability Key Features

    Some other features that make Elastic Observability stand out include:

    • Uptime monitoring: Tracks service availability and response times across endpoints.
    • Service map visualization: Displays relationships and dependencies between services in your environment.
    • Prebuilt integrations: Connects natively with AWS, Azure, Google Cloud, Kubernetes, and more.
    • Role-based access control: Manages user permissions and data access within the platform.

    Elastic Observability Integrations

    Integrations include AWS, Azure, Google Cloud, Kubernetes, Docker, Kafka, MongoDB, PostgreSQL, Microsoft SQL Server, and Slack.

    Pros and Cons

    Pros:

    • Customizable dashboards and visualizations
    • AI-driven anomaly detection for observability data
    • Unified search across logs, metrics, and traces

    Cons:

    • Limited out-of-the-box business metric templates
    • No built-in application profiling tools
  3. Best for automated application discovery
    • Free demo available
    • From $21.20/MVS/month
    IBM Instana screenshot
    IBM Instana delivers real-time monitoring with automated discovery and mapping.

    IBM Instana stands out for its automated application discovery and real-time observability. It’s a strong fit for enterprises and DevOps teams managing complex, dynamic environments where manual instrumentation is a challenge. Instana’s continuous, automated mapping of services and dependencies helps teams quickly pinpoint issues that other New Relic alternatives might miss.

    Why IBM Instana Is a Good New Relic Alternative

    Unlike many observability platforms, IBM Instana automatically discovers and maps every component in your application environment. I picked Instana because its automated application discovery means you don’t have to manually configure or update monitoring as your architecture evolves. Instana continuously detects new services, dependencies, and changes in real time, which is especially valuable for dynamic microservices and containerized workloads. This level of automation helps teams maintain visibility and quickly identify root causes, making it a strong alternative to New Relic for complex environments.

    IBM Instana Key Features

    In addition to automated discovery and mapping, I also found these features valuable:

    • Unbounded analytics: Enables users to query and analyze all collected metrics, traces, and logs without sampling.
    • Contextualized alerting: Delivers alerts based on real-time context and dependencies within your environment.
    • End-user monitoring: Tracks user experience and performance from the browser or mobile device through backend services.
    • One-second granularity: Captures and displays performance data at one-second intervals for detailed troubleshooting.

    IBM Instana Integrations

    Integrations include AWS EC2, IBM Cloud, Google Cloud Platform, Microsoft Azure, Red Hat OpenShift, VMware Tanzu, MongoDB, Apache Kafka, PagerDuty, and more.

    Pros and Cons

    Pros:

    • Supports containerized and cloud-native apps
    • One-second data granularity for real-time insights
    • Automated discovery of microservices and dependencies

    Cons:

    • High resource usage for on-premises agents
    • Limited customization for visualizations
    Learn more about IBM Instana:
  4. Best with AWS ecosystem integration
    • Free plan available
    • Pricing upon request
    Amazon CloudWatch screenshot
    Amazon CloudWatch monitors apps, resources, and performance metrics.

    If your team relies heavily on AWS services, Amazon CloudWatch offers monitoring and observability built directly into the AWS ecosystem. It’s a strong fit for cloud architects, DevOps teams, and enterprises running workloads on AWS who want native integration with their infrastructure and services. CloudWatch stands out from other New Relic alternatives by providing easy access to AWS resource metrics, logs, and alarms without extra configuration.

    Why Amazon CloudWatch Is a Good New Relic Alternative

    For teams operating within the AWS ecosystem, Amazon CloudWatch delivers monitoring that’s tightly integrated with AWS services. I picked CloudWatch because it automatically collects and visualizes metrics from nearly every AWS resource, including EC2, Lambda, and RDS, without extra setup. Its native log aggregation and alarm features let you detect and respond to issues across your AWS environment in real time. If you want observability that’s purpose-built for AWS workloads, CloudWatch is a practical alternative to New Relic.

    Amazon CloudWatch Key Features

    Some other features that caught my attention include:

    • Custom dashboards: Build visualizations that combine metrics, logs, and alarms in a single view.
    • Anomaly detection: Automatically identifies unusual patterns in metric data using machine learning.
    • CloudWatch Synthetics: Simulates user interactions to monitor application endpoints and APIs.
    • Cross-account observability: Aggregate and analyze telemetry data from multiple AWS accounts in one place.

    Amazon CloudWatch Integrations

    Integrations include Amazon EC2, Amazon RDS, Amazon S3, Amazon ECS, Amazon EKS, AWS Lambda, and more.

    Pros and Cons

    Pros:

    • Built-in synthetic monitoring for API endpoints
    • Granular metric collection for AWS resources
    • Direct integration with all AWS native services

    Cons:

    • Time-consuming alerting configuration
    • Limited visibility into non-AWS environments
    Learn more about Amazon CloudWatch:
  5. Best for Microsoft Azure workloads
    • Free demo available
    • Pricing upon request
    Azure Monitor screenshot
    Azure Monitor tracks telemetry across cloud and on-premises systems.

    Azure Monitor is purpose-built for organizations running critical workloads on Microsoft Azure. It’s a strong choice for IT teams, cloud engineers, and enterprises that want deep, native observability across Azure resources and services. Unlike other New Relic alternatives, Azure Monitor offers unified telemetry, diagnostics, and alerting that are tightly integrated with the Azure platform.

    Why Azure Monitor Is a Good New Relic Alternative

    When your infrastructure is built on Microsoft Azure, Azure Monitor offers observability that’s deeply embedded in the platform. I picked Azure Monitor because it collects telemetry from every Azure service, providing unified metrics, logs, and traces without extra configuration. Its Application Insights feature delivers end-to-end monitoring for distributed applications, making it easier to diagnose issues across cloud-native workloads. For teams invested in Azure, this level of integration and visibility sets Azure Monitor apart from other New Relic alternatives.

    Azure Monitor Key Features

    Some other features worth highlighting include:

    • Log Analytics workspace: Centralizes and queries log data from multiple Azure resources.
    • Smart alerts: Uses dynamic thresholds and machine learning to reduce false positives.
    • Network monitoring: Tracks connectivity, latency, and packet loss across Azure networks.
    • Workbooks: Lets you build interactive reports and dashboards for custom visualizations.

    Azure Monitor Integrations

    Integrations include Azure Kubernetes Service, Azure Arc, Azure Cosmos DB, Azure SQL, Azure Data Factory, Azure Functions, and more.

    Pros and Cons

    Pros:

    • Centralized log analytics across Azure resources
    • Built-in support for Azure Kubernetes Service
    • Deep integration with Microsoft Azure services

    Cons:

    • High alert noise without tuning
    • Query language differs from industry standards
    Learn more about Azure Monitor:
  6. Best for business transaction monitoring
    • 15-day free trial available
    • From $6/CPU core/month (billed annually)
    Splunk AppDynamics screenshot
    Splunk AppDynamics delivers full-stack monitoring with real-time insights.

    Splunk AppDynamics is designed for teams that need deep visibility into business transaction flows across complex applications. It’s especially useful for enterprises and IT leaders who want to connect application performance directly to business outcomes. If you’re looking for a New Relic alternative that excels at mapping and monitoring end-to-end business transactions, Splunk AppDynamics offers a focused approach.

    Why Splunk AppDynamics Is a Good New Relic Alternative

    Splunk AppDynamics stands out for its ability to monitor business transactions end-to-end, making it a strong choice for organizations that need to tie application performance directly to business metrics. I like how it automatically discovers, maps, and visualizes transaction flows across distributed environments, so you can see exactly where bottlenecks impact user experience or revenue. Its transaction snapshots and code-level diagnostics help teams quickly identify and resolve issues that affect critical business processes. For teams prioritizing business transaction monitoring over generic application metrics, Splunk AppDynamics offers a focused and actionable alternative to New Relic.

    Splunk AppDynamics Key Features

    In addition to its business transaction monitoring focus, I also found these features valuable:

    • Dynamic baselining: Automatically establishes performance baselines and detects anomalies based on historical trends.
    • End-user monitoring: Captures real user interactions and performance data from browsers and mobile devices.
    • Infrastructure visibility: Monitors servers, databases, and cloud resources alongside application data.
    • Custom dashboards: Lets you build tailored visualizations for different teams and stakeholders.

    Splunk AppDynamics Integrations

    Integrations include Splunk, SAP, Cisco ThousandEyes, OpenTelemetry, ServiceNow, AWS, Microsoft Azure, Google Cloud Platform, and more.

    Pros and Cons

    Pros:

    • Integration with Cisco networking tools
    • Code-level diagnostics for Java and .NET
    • Granular business transaction mapping

    Cons:

    • Pricing increases with additional modules
    • Limited support for open-source frameworks
    Learn more about Splunk AppDynamics:
  7. Best for real-time error tracking
    • Free plan + free demo + 14-day free trial available
    • From $26/month (billed annually)
    Visit Website
    Customer Rating:4.6/5
    Sentry screenshot
    Sentry tracks application errors in real time to improve code quality.

    Sentry offers real-time error tracking designed for teams that need instant visibility into application issues. It’s especially useful for developers and engineering leads who want to quickly identify, triage, and resolve errors before they impact users. Unlike many New Relic alternatives, Sentry focuses on actionable error diagnostics and deep context for every incident.

    Why Sentry Is a Good New Relic Alternative

    For teams that need to catch and resolve errors as they happen, Sentry’s real-time error tracking stands out. I picked Sentry because it instantly notifies you of new issues and provides detailed stack traces, user context, and release tracking for every error. Sentry’s event grouping and issue resolution workflow help developers prioritize and fix the most impactful problems quickly. This focus on actionable, real-time diagnostics makes Sentry a strong alternative to New Relic for organizations that want to minimize downtime and user disruption.

    Sentry Key Features

    Some other features that make Sentry appealing include:

    • Performance monitoring: Tracks transaction times and bottlenecks across your application stack.
    • Release health tracking: Monitors the stability and adoption of each software release.
    • Session replay: Captures user sessions to help visualize the steps leading up to an error.
    • Custom alert rules: Lets you define specific conditions for triggering notifications.

    Sentry Integrations

    Integrations include GitHub, Slack, Jira, GitLab, Azure DevOps, PagerDuty, Datadog, Microsoft Teams, Vercel, and more.

    Pros and Cons

    Pros:

    • Flexible custom alert rules for notifications
    • Deep integration with developer toolchains
    • Real-time error alerts with detailed context

    Cons:

    • No synthetic transaction monitoring features
    • Limited infrastructure monitoring capabilities
  8. Best with AI-powered root cause analysis
    • Free demo available
    • From $4.50/1000 sessions
    Visit Website
    Customer Rating:4.5/5
    Dynatrace screenshot
    Dynatrace uses AI observability to detect issues early and automate fixes.

    Dynatrace offers an observability solution with AI-powered root cause analysis for teams in complex environments. It’s a strong fit for enterprises and IT operations teams managing large-scale cloud-native or hybrid infrastructures. If you want to reduce manual troubleshooting and get actionable insights from observability data, Dynatrace offers a distinct approach compared to other New Relic alternatives.

    Why Dynatrace Is a Good New Relic Alternative

    What sets Dynatrace apart is its AI-powered root cause analysis, which helps teams quickly pinpoint and resolve issues in complex environments. I appreciate how Davis AI engine automatically analyzes dependencies and anomalies across applications, infrastructure, and user experience data. Dynatrace also provides automated problem detection and prioritization, reducing the need for manual investigation. For organizations seeking to minimize downtime and accelerate troubleshooting, these features make Dynatrace a compelling alternative to New Relic.

    Dynatrace Key Features

    Some other features worth highlighting include:

    • Full-stack observability: Monitor applications, infrastructure, and user experience data from a single platform.
    • Automatic dependency mapping: Visualize relationships between services, processes, and hosts without manual configuration.
    • Real user monitoring (RUM): Track actual user interactions and performance across web and mobile applications.
    • Custom metric ingestion: Bring in external metrics for unified analysis alongside native monitoring data.

    Dynatrace Integrations

    Integrations include AWS, Microsoft Azure, Google Cloud APIs, Alibaba Cloud, Kubernetes, Docker, Red Hat Enterprise Linux, Oracle HTTP Server, Prometheus, and more.

    Pros and Cons

    Pros:

    • Supports multi-cloud and hybrid environments
    • Real user monitoring covers web and mobile
    • AI engine automates root cause analysis

    Cons:

    • Alert noise can require manual tuning
    • Limited custom dashboarding options
  9. Best for cloud-native infrastructure visibility
    • Free plan available and 14-day free trial
    • From $5/month (billed annually)
    Visit Website
    Customer Rating:4.5/5
    Datadog screenshot
    Datadog offers real-time cloud monitoring with alerts and unified dashboards.

    Datadog is built for teams managing dynamic, cloud-native environments that need unified visibility across infrastructure, applications, and logs. It’s especially relevant for DevOps, SRE, and platform teams who want to correlate metrics, traces, and events in real time. If you’re seeking a New Relic alternative with deep integrations for cloud platforms and containerized workloads, Datadog offers a monitoring approach tailored to modern architectures.

    Why Datadog Is a Good New Relic Alternative

    For teams focused on cloud-native infrastructure visibility, Datadog offers a monitoring experience that’s purpose-built for modern, distributed systems. I appreciate how Datadog provides unified dashboards that correlate time-series infrastructure metrics and application traces. Its auto-discovery of cloud resources and support for container orchestration platforms like Kubernetes make it especially useful for organizations running microservices at scale. If you need granular, real-time insights into cloud workloads, Datadog is a strong alternative to New Relic.

    Datadog Key Features

    Some other features that stood out to me include:

    • Synthetic monitoring: Simulates user interactions to test application and API performance from multiple locations.
    • Network performance monitoring: Tracks network traffic, latency, and dependencies across cloud and on-premises environments.
    • Security monitoring: Detects threats and suspicious activity by analyzing logs and infrastructure events.
    • Custom alerting: Lets you set up tailored alerts based on thresholds, anomalies, or composite conditions.

    Datadog Integrations

    Integrations include AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Slack, PagerDuty, GitHub, Jira, and more.

    Pros and Cons

    Pros:

    • Security monitoring integrated with observability data
    • Real-time log analytics with custom dashboards
    • Native support for Kubernetes and containers

    Cons:

    • Limited retention periods for logs
    • High data ingestion costs for large environments
  10. Best for monitoring hybrid IT environments
    • 30-day free trial + free demo + free plan availabl
    • From $199/year
    Visit Website
    Customer Rating:4.3/5
    ManageEngine Applications Manager screenshot
    ManageEngine Applications Manager monitors scalable app and infrastructure performance.

    ManageEngine Applications Manager is designed for teams managing self-hosted, cloud, and on-premises systems in hybrid IT environments. It appeals to IT operations and infrastructure teams that need unified monitoring across diverse technologies. If you’re looking for deep visibility into applications, servers, and databases without being tied to a single cloud provider, this platform stands out.

    Why ManageEngine Applications Manager Is a Good New Relic Alternative

    For organizations juggling PHP apps and on-premises assets, ManageEngine Applications Manager offers unified monitoring. I picked it for its ability to track performance across hybrid IT environments, including legacy systems and modern cloud apps. The platform provides real-time application, server, and database monitoring from a single dashboard. Its support for over 150 technologies makes it a strong fit for teams with diverse infrastructure.

    ManageEngine Applications Manager Key Features

    Some other features worth noting include:

    • Synthetic transaction monitoring: Simulate user interactions to proactively detect application issues before they impact real users.
    • Customizable dashboards: Build tailored views to track the metrics and KPIs that matter most to your team.
    • Automated alerting: Set up threshold-based alerts to notify you of performance anomalies or outages as soon as they occur.
    • Root cause analysis tools: Drill down into incidents with detailed reports and dependency mapping to quickly identify the source of problems.

    ManageEngine Applications Manager Integrations

    Integrations include AWS, Azure, Google Cloud Platform, Oracle Cloud, Microsoft 365, ServiceNow, Docker, Kubernetes, VMware, and Apache Tomcat.

    Pros and Cons

    Pros:

    • Monitors 150+ different application types
    • Offers deep database and server visibility
    • Supports both cloud and on-premises monitoring

    Cons:

    • Fewer AI-driven insights than competitors
    • User interface can feel outdated
    Learn more about ManageEngine Applications Manager:

Andre alternativer til New Relic

Her er noen flere alternativer til New Relic som ikke kom med på kortlisten, men som likevel er verdt å se nærmere på:

  1. 11
    SplunkNew Relic Alternatives
  2. 12
    GrafanaBest for customizable dashboard visualizations
  3. 13
    Logz.ioBest for open source observability integrations

How I Evaluate New Relic Alternatives

When a checkout page crawls or a mobile crash spikes, I evaluate each tool in two layers: the baseline observability it must deliver, and the differentiators that make it right for CX teams.

Core Functionality (Table Stakes For This List)

When I'm selecting tools for my list, I rank each one on a scale from 0 (does not offer the functionality) to 5 (excels in this area) for each core functionality listed below. Then, I calculate the tool's total score into a percentage. Each tool needs to achieve a minimum total score of 65% to be considered for inclusion.

  • Application Performance Monitoring: I evaluate distributed tracing depth and language coverage, checking whether I can follow a slow API call from the frontend through microservices to the database query causing it.
  • Real User Monitoring: Each tool should capture actual end-user page loads, errors, and interaction timing segmented by browser, device, and geography to surface where real customers hit friction.
  • Synthetic Monitoring: I look for scripted, multi-step checks that simulate key user flows like login or checkout from multiple regions, catching outages before customers report them.
  • Unified Observability: Logs, metrics, and traces should live in one interface with correlation between them, so pivoting from a latency spike to the relevant error log takes seconds, not switching tabs.
  • Alerting & Incident Management: Good alerting goes beyond static thresholds. I check for anomaly-based triggers and native routing to tools like PagerDuty or Slack so the right on-call person gets notified fast.
  • Custom Dashboards & CX Analytics: Teams need dashboards that tie response times and error rates to business KPIs like cart abandonment or CSAT, not just generic infrastructure charts.

Once I have a list of tools that meet this criteria, I consider what sets each platform apart.

Differentiating Factors (What Sets Vendors Apart)

Here's how I compare and contrast different vendors:

Standout Features

Session replay is a big differentiator. I look for tools that let me watch a real user struggle through a broken checkout flow right alongside the technical errors that caused it. Business impact correlation matters just as much, because tying a latency spike to a measurable drop in conversions helps CX teams prioritize fixes. I also check for native Core Web Vitals tracking, since those scores directly shape search visibility and first impressions for every visitor.

Beyond Features

Pricing model matters a lot in this space. Observability costs can spiral when customer traffic spikes during a product launch or seasonal event, so I evaluate whether billing is predictable and transparent as data ingest scales. Integration fit is another key factor—I check for native connections to tools like Zendesk, PagerDuty, and Slack that CX and SRE teams already rely on daily. Compliance also weighs in, especially PII masking in session replay and RUM data, which directly affects how safely you can monitor real customer interactions.

Hvorfor se etter et alternativ til New Relic?

Selv om New Relic er et godt valg, ser mange brukere etter alternativer på grunn av prisene til New Relic og kostnadene knyttet til datamengde. Du ser kanskje etter et alternativ til New Relic fordi …

  • Du trenger mer fleksibel prising for store datamengder
  • Du ønsker bedre støtte for integrasjoner med åpen kildekode
  • Du trenger avansert hendelsesanalyse med høy kardinalitet
  • Du trenger mer detaljert kontroll over datalagring
  • Du ønsker et enklere grensesnitt for distribuert sporing
  • Du opererer i regioner med begrenset støtte for New Relic

Hvis noe av dette høres kjent ut, har du kommet til riktig sted. Listen min inneholder flere plattformer for overvåking av applikasjonsytelse og observerbarhet som er bedre egnet for team som møter disse utfordringene med New Relic og ser etter alternativer.

Viktige funksjoner i New Relic

Her er noen av de viktigste funksjonene i New Relic, slik at du kan sammenligne hva alternative løsninger tilbyr:

  • APM-overvåking: Sporer ytelsesmålinger for applikasjoner, feilrater og transaksjonstider for å hjelpe team med å identifisere og løse flaskehalser i sanntid.
  • Distribuert sporing: Følger forespørsler når de beveger seg gjennom mikrotjenester og infrastruktur, slik at det blir enklere å finne ut hvor forsinkelser eller feil oppstår.
  • Infrastruktur-overvåking: Gir innsyn i servere, containere og skyressurser, slik at brukerne kan sammenholde infrastrukturens tilstand med applikasjonens ytelse.
  • Loggadministrasjon: Samler inn og analyserer loggdata fra flere datakilder, noe som muliggjør raskere feilsøking og analyse av grunnårsaker.
  • Syntetisk overvåking: Simulerer brukerinteraksjoner og API-kall for proaktivt å oppdage driftsavbrudd eller ytelsesproblemer før de påvirker faktiske brukere.
  • Overvåking av faktiske brukere (RUM): Samler inn data fra faktiske brukerøkter og gir innsikt i ytelsen i frontend og brukeropplevelsen på tvers av enheter og geografiske områder.
  • Varsling og hendelsesadministrasjon: Sender tilpassbare varsler basert på terskelverdier eller avvik, og integreres med verktøy for hendelsesrespons for å administrere arbeidsflyter for problemløsning.
  • Dashbord og visualisering: Tilbyr tilpassbare dashbord som samler målinger, sporingsdata og logger i en samlet oversikt over systemets tilstand og ytelse.
  • Tjenestekart: Visualiserer relasjoner og avhengigheter mellom tjenester, slik at teamene kan forstå hvordan problemer påvirker distribuerte miljøer.
  • Integrasjoner: Kobler seg direkte til populære skyleverandører, DevOps-verktøy og tredjepartsplattformer for å sentralisere observasjonsdata og automatisere arbeidsflyter.
Gui Drusina
Gui Drusina